[
  {
    "page_number": 1,
    "l_code": "L23304",
    "title": "模型調整優化總覽",
    "output_basename": "L23304_p01_model_tuning_overview",
    "source_file": "/Users/kueikuei/aiondaily/ipas_AI規劃師中級/科目三_學習指引/chunks/L23304.txt",
    "visual_type": "mind_map",
    "preserves": [
      "淡米白色方格筆記紙背景",
      "左上角 L-code 淡灰色小字，無框無底線",
      "不加入右上角頁碼",
      "右下角浮水印 AIOnDaily × 咖啡AI學，透明度約 35%",
      "繁體中文清楚可讀"
    ],
    "prompt_id": "P01",
    "notes": "用地圖整理超參數、正則化、資料增強、重取樣、壓縮、加速與部署效能。"
  },
  {
    "page_number": 2,
    "l_code": "L23304",
    "title": "超參數調校地圖",
    "output_basename": "L23304_p02_hyperparameter_map",
    "source_file": "/Users/kueikuei/aiondaily/ipas_AI規劃師中級/科目三_學習指引/chunks/L23304.txt",
    "visual_type": "flowchart",
    "preserves": [
      "淡米白色方格筆記紙背景",
      "左上角 L-code 淡灰色小字，無框無底線",
      "不加入右上角頁碼",
      "右下角浮水印 AIOnDaily × 咖啡AI學，透明度約 35%",
      "繁體中文清楚可讀"
    ],
    "prompt_id": "P02",
    "notes": "整理 learning rate、batch size、depth、width、activation、optimizer、regularization coefficient。"
  },
  {
    "page_number": 3,
    "l_code": "L23304",
    "title": "學習率調校",
    "output_basename": "L23304_p03_learning_rate_tuning",
    "source_file": "/Users/kueikuei/aiondaily/ipas_AI規劃師中級/科目三_學習指引/chunks/L23304.txt",
    "visual_type": "comparison_table",
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      "淡米白色方格筆記紙背景",
      "左上角 L-code 淡灰色小字，無框無底線",
      "不加入右上角頁碼",
      "右下角浮水印 AIOnDaily × 咖啡AI學，透明度約 35%",
      "繁體中文清楚可讀"
    ],
    "prompt_id": "P03",
    "notes": "畫不同 learning rate 對 loss 曲線的影響，標出 decay、scheduler、warmup。"
  },
  {
    "page_number": 4,
    "l_code": "L23304",
    "title": "批次大小調校",
    "output_basename": "L23304_p04_batch_size_tuning",
    "source_file": "/Users/kueikuei/aiondaily/ipas_AI規劃師中級/科目三_學習指引/chunks/L23304.txt",
    "visual_type": "concept_diagram",
    "preserves": [
      "淡米白色方格筆記紙背景",
      "左上角 L-code 淡灰色小字，無框無底線",
      "不加入右上角頁碼",
      "右下角浮水印 AIOnDaily × 咖啡AI學，透明度約 35%",
      "繁體中文清楚可讀"
    ],
    "prompt_id": "P04",
    "notes": "比較 small batch 與 large batch 對穩定性、記憶體、速度與泛化的影響。"
  },
  {
    "page_number": 5,
    "l_code": "L23304",
    "title": "深度與寬度",
    "output_basename": "L23304_p05_depth_width",
    "source_file": "/Users/kueikuei/aiondaily/ipas_AI規劃師中級/科目三_學習指引/chunks/L23304.txt",
    "visual_type": "checklist",
    "preserves": [
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      "左上角 L-code 淡灰色小字，無框無底線",
      "不加入右上角頁碼",
      "右下角浮水印 AIOnDaily × 咖啡AI學，透明度約 35%",
      "繁體中文清楚可讀"
    ],
    "prompt_id": "P05",
    "notes": "說明網路層數與每層神經元數對表達能力、過擬合與運算成本的影響。"
  },
  {
    "page_number": 6,
    "l_code": "L23304",
    "title": "激活函數選擇",
    "output_basename": "L23304_p06_activation_selection",
    "source_file": "/Users/kueikuei/aiondaily/ipas_AI規劃師中級/科目三_學習指引/chunks/L23304.txt",
    "visual_type": "formula_notes",
    "preserves": [
      "淡米白色方格筆記紙背景",
      "左上角 L-code 淡灰色小字，無框無底線",
      "不加入右上角頁碼",
      "右下角浮水印 AIOnDaily × 咖啡AI學，透明度約 35%",
      "繁體中文清楚可讀"
    ],
    "prompt_id": "P06",
    "notes": "比較 ReLU、Sigmoid、Tanh、Leaky ReLU 與輸出層 activation 的適用情境。"
  },
  {
    "page_number": 7,
    "l_code": "L23304",
    "title": "優化器選擇",
    "output_basename": "L23304_p07_optimizer_selection",
    "source_file": "/Users/kueikuei/aiondaily/ipas_AI規劃師中級/科目三_學習指引/chunks/L23304.txt",
    "visual_type": "process_map",
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      "淡米白色方格筆記紙背景",
      "左上角 L-code 淡灰色小字，無框無底線",
      "不加入右上角頁碼",
      "右下角浮水印 AIOnDaily × 咖啡AI學，透明度約 35%",
      "繁體中文清楚可讀"
    ],
    "prompt_id": "P07",
    "notes": "比較 SGD、Momentum、RMSProp、Adam、Adagrad 的更新特性與常見使用場景。"
  },
  {
    "page_number": 8,
    "l_code": "L23304",
    "title": "正則化係數",
    "output_basename": "L23304_p08_regularization_coefficient",
    "source_file": "/Users/kueikuei/aiondaily/ipas_AI規劃師中級/科目三_學習指引/chunks/L23304.txt",
    "visual_type": "mind_map",
    "preserves": [
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      "左上角 L-code 淡灰色小字，無框無底線",
      "不加入右上角頁碼",
      "右下角浮水印 AIOnDaily × 咖啡AI學，透明度約 35%",
      "繁體中文清楚可讀"
    ],
    "prompt_id": "P08",
    "notes": "說明 regularization coefficient 如何控制懲罰強度，畫過小、適中、過大的差異。"
  },
  {
    "page_number": 9,
    "l_code": "L23304",
    "title": "L1、L2、Elastic Net",
    "output_basename": "L23304_p09_l1_l2_elastic_net",
    "source_file": "/Users/kueikuei/aiondaily/ipas_AI規劃師中級/科目三_學習指引/chunks/L23304.txt",
    "visual_type": "flowchart",
    "preserves": [
      "淡米白色方格筆記紙背景",
      "左上角 L-code 淡灰色小字，無框無底線",
      "不加入右上角頁碼",
      "右下角浮水印 AIOnDaily × 咖啡AI學，透明度約 35%",
      "繁體中文清楚可讀"
    ],
    "prompt_id": "P09",
    "notes": "比較 L1 促進稀疏、L2 平滑權重、Elastic Net 混合兩者，畫權重被壓縮的示意。"
  },
  {
    "page_number": 10,
    "l_code": "L23304",
    "title": "Dropout 與 Early Stopping",
    "output_basename": "L23304_p10_dropout_early_stopping",
    "source_file": "/Users/kueikuei/aiondaily/ipas_AI規劃師中級/科目三_學習指引/chunks/L23304.txt",
    "visual_type": "comparison_table",
    "preserves": [
      "淡米白色方格筆記紙背景",
      "左上角 L-code 淡灰色小字，無框無底線",
      "不加入右上角頁碼",
      "右下角浮水印 AIOnDaily × 咖啡AI學，透明度約 35%",
      "繁體中文清楚可讀"
    ],
    "prompt_id": "P10",
    "notes": "用網路節點隨機遮蔽和 validation loss 停止點說明兩種防過擬合策略。"
  },
  {
    "page_number": 11,
    "l_code": "L23304",
    "title": "資料增強",
    "output_basename": "L23304_p11_data_augmentation",
    "source_file": "/Users/kueikuei/aiondaily/ipas_AI規劃師中級/科目三_學習指引/chunks/L23304.txt",
    "visual_type": "concept_diagram",
    "preserves": [
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      "左上角 L-code 淡灰色小字，無框無底線",
      "不加入右上角頁碼",
      "右下角浮水印 AIOnDaily × 咖啡AI學，透明度約 35%",
      "繁體中文清楚可讀"
    ],
    "prompt_id": "P11",
    "notes": "整理影像旋轉裁切、文字替換、音訊擾動、時間序列 windowing 等增強方法。"
  },
  {
    "page_number": 12,
    "l_code": "L23304",
    "title": "不平衡資料重取樣",
    "output_basename": "L23304_p12_imbalance_resampling",
    "source_file": "/Users/kueikuei/aiondaily/ipas_AI規劃師中級/科目三_學習指引/chunks/L23304.txt",
    "visual_type": "checklist",
    "preserves": [
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      "左上角 L-code 淡灰色小字，無框無底線",
      "不加入右上角頁碼",
      "右下角浮水印 AIOnDaily × 咖啡AI學，透明度約 35%",
      "繁體中文清楚可讀"
    ],
    "prompt_id": "P12",
    "notes": "說明 class imbalance 的問題，畫多數類與少數類，以及評估指標不能只看 accuracy。"
  },
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    "page_number": 13,
    "l_code": "L23304",
    "title": "過採樣與 SMOTE",
    "output_basename": "L23304_p13_oversampling_smote",
    "source_file": "/Users/kueikuei/aiondaily/ipas_AI規劃師中級/科目三_學習指引/chunks/L23304.txt",
    "visual_type": "formula_notes",
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      "淡米白色方格筆記紙背景",
      "左上角 L-code 淡灰色小字，無框無底線",
      "不加入右上角頁碼",
      "右下角浮水印 AIOnDaily × 咖啡AI學，透明度約 35%",
      "繁體中文清楚可讀"
    ],
    "prompt_id": "P13",
    "notes": "畫少數類樣本被複製或插值產生新點，說明 oversampling 與 SMOTE 直覺。"
  },
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    "page_number": 14,
    "l_code": "L23304",
    "title": "欠採樣",
    "output_basename": "L23304_p14_undersampling",
    "source_file": "/Users/kueikuei/aiondaily/ipas_AI規劃師中級/科目三_學習指引/chunks/L23304.txt",
    "visual_type": "process_map",
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      "淡米白色方格筆記紙背景",
      "左上角 L-code 淡灰色小字，無框無底線",
      "不加入右上角頁碼",
      "右下角浮水印 AIOnDaily × 咖啡AI學，透明度約 35%",
      "繁體中文清楚可讀"
    ],
    "prompt_id": "P14",
    "notes": "畫多數類樣本被抽樣減少，說明 undersampling 的效率與資訊流失風險。"
  },
  {
    "page_number": 15,
    "l_code": "L23304",
    "title": "知識蒸餾",
    "output_basename": "L23304_p15_knowledge_distillation",
    "source_file": "/Users/kueikuei/aiondaily/ipas_AI規劃師中級/科目三_學習指引/chunks/L23304.txt",
    "visual_type": "mind_map",
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      "淡米白色方格筆記紙背景",
      "左上角 L-code 淡灰色小字，無框無底線",
      "不加入右上角頁碼",
      "右下角浮水印 AIOnDaily × 咖啡AI學，透明度約 35%",
      "繁體中文清楚可讀"
    ],
    "prompt_id": "P15",
    "notes": "畫 teacher model 指導 student model，說明用 soft labels 壓縮模型且保留表現。"
  },
  {
    "page_number": 16,
    "l_code": "L23304",
    "title": "剪枝 Pruning",
    "output_basename": "L23304_p16_pruning",
    "source_file": "/Users/kueikuei/aiondaily/ipas_AI規劃師中級/科目三_學習指引/chunks/L23304.txt",
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      "左上角 L-code 淡灰色小字，無框無底線",
      "不加入右上角頁碼",
      "右下角浮水印 AIOnDaily × 咖啡AI學，透明度約 35%",
      "繁體中文清楚可讀"
    ],
    "prompt_id": "P16",
    "notes": "畫神經網路連線被移除，說明減少冗餘權重、降低模型大小與加速推論。"
  },
  {
    "page_number": 17,
    "l_code": "L23304",
    "title": "量化 Quantization",
    "output_basename": "L23304_p17_quantization",
    "source_file": "/Users/kueikuei/aiondaily/ipas_AI規劃師中級/科目三_學習指引/chunks/L23304.txt",
    "visual_type": "comparison_table",
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      "左上角 L-code 淡灰色小字，無框無底線",
      "不加入右上角頁碼",
      "右下角浮水印 AIOnDaily × 咖啡AI學，透明度約 35%",
      "繁體中文清楚可讀"
    ],
    "prompt_id": "P17",
    "notes": "說明 FP32 到 INT8 的權重量化，畫精度、速度、記憶體之間的取捨。"
  },
  {
    "page_number": 18,
    "l_code": "L23304",
    "title": "混合精度訓練",
    "output_basename": "L23304_p18_mixed_precision",
    "source_file": "/Users/kueikuei/aiondaily/ipas_AI規劃師中級/科目三_學習指引/chunks/L23304.txt",
    "visual_type": "concept_diagram",
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      "左上角 L-code 淡灰色小字，無框無底線",
      "不加入右上角頁碼",
      "右下角浮水印 AIOnDaily × 咖啡AI學，透明度約 35%",
      "繁體中文清楚可讀"
    ],
    "prompt_id": "P18",
    "notes": "畫 FP16/BF16 與 FP32 結合，說明提升速度、節省記憶體與保持穩定。"
  },
  {
    "page_number": 19,
    "l_code": "L23304",
    "title": "調校實驗管理",
    "output_basename": "L23304_p19_tuning_experiment_management",
    "source_file": "/Users/kueikuei/aiondaily/ipas_AI規劃師中級/科目三_學習指引/chunks/L23304.txt",
    "visual_type": "checklist",
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      "不加入右上角頁碼",
      "右下角浮水印 AIOnDaily × 咖啡AI學，透明度約 35%",
      "繁體中文清楚可讀"
    ],
    "prompt_id": "P19",
    "notes": "整理 grid search、random search、Bayesian optimization、實驗紀錄與可重現性。"
  },
  {
    "page_number": 20,
    "l_code": "L23304",
    "title": "L23304 複習清單",
    "output_basename": "L23304_p20_review_checklist",
    "source_file": "/Users/kueikuei/aiondaily/ipas_AI規劃師中級/科目三_學習指引/chunks/L23304.txt",
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      "右下角浮水印 AIOnDaily × 咖啡AI學，透明度約 35%",
      "繁體中文清楚可讀"
    ],
    "prompt_id": "P20",
    "notes": "以核取方塊整理超參數、正則化、資料增強、重取樣、蒸餾、剪枝、量化與混合精度。"
  }
]